The tutorials for FDU Big Data Application
初步介绍Python与Jupyter Notebook的用法与实现。
主要通过C4.5决策树来介绍分类算法与监督学习，涉及特征工程的简单处理与数据不平衡问题，并通过优化ROI来理解其商业应用。
主要通过K-Means来入门聚类算法与无监督学习，并试图挖掘消费者群体划分背后的商业含义。
通过Pagerank算法的实现来理解网络问题。
通过Apriori算法来了解关联算法的逻辑。
通过Keras入门来搭建神经网络，并学习初级的模型融合。
注：由于github阅读Jupyter Notebook的功能较差，建议用nbviewer进行打开。可以从https://nbviewer.jupyter.org/github/Cage6666/Big-Data-Application/tree/master/ 链接进入，打开一个Notebook后点击Open in Colab，就直接可以在线使用啦~
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
